Journal ArticleDOI
Optimization of multivariate simulation output models using a group screening method
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TLDR
In this article, a two-stage group screening experimental design is used to investigate which subset of the variables is most important in explaining the optimum response variable, and a simulation of a new generation of flight simulator is analyzed to determine the values of six variables that will optimize the value of a dependent variable simultaneously.About:
This article is published in Computers & Industrial Engineering.The article was published on 1990-01-02. It has received 20 citations till now. The article focuses on the topics: Variables & Optimization problem.read more
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Searching for important factors in simulation models with many factors: Sequential bifurcation
TL;DR: The screening problem by a novel technique called ‘sequential bifurcation’, which identifies some factors as being important that the ecological experts initially thought to be unimportant.
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Searching for important factors in simulation models with many factors: Sequential bifurcation
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Sensitivity analysis and related analyses: A review of some statistical techniques
TL;DR: In this article, five related types of analysis, namely sensitivity or what-if analysis, uncertainty or risk analysis, screening, validation, and optimization, are reviewed, and the main questions are: when should which type of analysis be applied; which statistical techniques may then be used?
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Sensitivity analysis and related analyses: A review of some statistical techniques
TL;DR: This paper claims that the proper sequence to follow in the evaluation of simulation models is validation, in which the availability of data on the real system determines which type of statistical technique to use for validation.
Efficient nearly orthogonal and space-filling experimental designs for high-dimensional complex models
TL;DR: This dissertation develops a set of experimental designs for search over as many as 22 variables in as few as 129 runs, which combine orthogonal Latin hypercubes and uniform designs to create designs having near orthogonality and excellent space-filling properties.
References
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Book
Empirical Model-Building and Response Surfaces
TL;DR: In this article, the authors present a Second-Order Response Surface Methodology (SRSM) for response surface design, which is based on Maxima and Ridge systems with second-order response surfaces.
Journal ArticleDOI
Empirical Model-Building and Response Surfaces
TL;DR: This work discusses the use of Graduating Functions, design Aspects of Variance, Bias, and Lack of Fit, and Practical Choice of a Response Surface Design in relation to Second--Order Response Surfaces.
Journal ArticleDOI
A Study of the Group Screening Method
TL;DR: In this article, the problem of group screening methods is discussed, where f factors are sub-divided into groups of k factors each, forming g "group-factors" and the group factors are then studied using a Plackett and Burman design in Q + 1 runs.
Journal ArticleDOI
An Empirical Investigation of Optimum-Seeking in the Computer Simulation Situation
TL;DR: This paper discusses the framework and results of an empirical evaluation of the performance of some search techniques based on applying the techniques to various multidimensional situations that were constructed so that the true optimum was known.
Journal ArticleDOI
Automatic optimum-seeking program for digital simulation
TL;DR: The automated RSM program, which may be used for strained or unconstrained optimum-seeking in conjunc tion with deterministic or Monte CarZo simulations, is now available to potential users.